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All you need to know about Azure DevOps!

Cloud That

What is Azure DevOps? Core Azure DevOps Services. Microsoft Azure DevOps Server. Pricing for Azure DevOps. Azure DevOps: Sign up. Azure DevOps Services. Azure provides cloud-based DevOps services. In this blog, we will look at Azure DevOps, a Microsoft cloud-based DevOps solution.? .

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps brings automation to model training and retraining processes. Training never ends.

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Free Courses at Linux Academy — August 2019

Linux Academy

To continually support you in your mission to learn and grow we are always adding new courses and resources. Our free cloud training allows students to begin developing their Linux and Cloud skills. Your study group hosts have helped train thousands of people to pass AWS Certifications and welcome learners of all levels.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. On average, though, bonuses for non-certified skills were bigger and faster-growing than those for certifications.

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4 Microsoft Azure Services for Software Development and Modernization

Datavail

Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications. Azure Machine Learning. Azure Machine Learning simplifies the process of building, training, and deploying production-ready machine learning models.

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Demystifying MLOps: From Notebook to ML Application

Xebia

Most enterprise ML platforms (Vertex AI, Azure ML, Sagemaker) integrate with MLflow. Therefore, we will deploy our solution to one of the cloud providers ( Azure , GCP , AWS , or others). Continuous integration and continuous deployment (CI/CD) We already went from a local notebook to a container to cloud.

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What’s Free At Linux Academy June 2019

Linux Academy

By adding free cloud training to our Community Membership, students have the opportunity to develop their Linux and Cloud skills further. Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy.

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